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Sustainability: Analysis Using Mathematics of Uncertainty

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Sustainable Development Goals: Analysis by Mathematics of Uncertainty

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 299))

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Abstract

All member states of the United Nations adopted Agenda 2030 and the Sustainable Development Goals (SDGs)Ā in 2015.

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Correspondence to John N. Mordeson .

2.4Ā Appendix

2.4Ā Appendix

2.1.1 2.4.1Ā Sustainable Development Goals

\(G_{1}\): No Poverty

Ā Ā Ā Internationally comparable poverty lines above $1.90 PPP per day

Ā Ā Ā \(G_{2}\): Zero HungerĀ 

Ā Ā Ā Agricultural yield gaps by cropping system

Ā Ā Ā Resource use efficiency (nutrients, water, energy)

Ā Ā Ā Food loss and food waste

Ā Ā Ā Greenhouse gas emissions from land use

Ā Ā Ā Diets and nutrient deficiencies

Ā Ā Ā \(G_{3}\): Good Health and Well-Being

Ā Ā Ā Affordability of healthcare

Ā Ā Ā \(G_{4}\): Quality Education

Ā Ā Ā Internationally comparable primary and secondary education outcomes

Ā Ā Ā Early childhood development

Ā Ā Ā \(G_{5}\): Gender EqualityĀ 

Ā Ā Ā Gender pay gap and other empowerment measures

Ā Ā Ā Violence against women

Ā Ā Ā \(G_{6}\): Clean Water and Sanitation

Ā Ā Ā Water embedded in trade adjusted for environmental impact

Ā Ā Ā Quality of drinking water and surface water

Ā Ā Ā \(G_{7}\): Affordable and Clean Energy

Ā Ā Ā \(G_{8}\): Decent Work and Economic Growth

Ā Ā Ā Decent work

Ā Ā Ā Child labor

Ā Ā Ā \(G_{9}\): Industry, Innovation and Infrastructure

Ā Ā Ā \(G_{10}\): Reduced Inequalities

Ā Ā Ā Wealth inequality

Ā Ā Ā Vertical mobility

Ā Ā Ā \(G_{11}\): Sustainable Cities and Communities

Ā Ā Ā \(G_{12}\): Responsible Consumption and Production

Ā Ā Ā Environmental impact of material flows

Ā Ā Ā Recycling and re-use (circular economy)

Ā Ā Ā Chemicals

Ā Ā Ā \(G_{13}\): Climate ActionĀ 

Ā Ā Ā Leading indicators for decarbonization

Ā Ā Ā Greenhouse gas emissions from land use

Ā Ā Ā Climate vulnerability metrics

Ā Ā Ā \(G_{14}\): Life Below Water

Ā Ā Ā Maximum sustainable yields

Ā Ā Ā Impact of high sea and cross border fishing

Ā Ā Ā Protected areas by level of protection

Ā Ā Ā \(G_{15}\): Life on Land

Ā Ā Ā Leading indicators on ecosystem health

Ā Ā Ā Trade in endangered species

Ā Ā Ā Protected areas by level of protection

Ā Ā Ā \(G_{16}\): Peace, Justice, and Strong Institutions

Ā Ā Ā Modern slavery and human trafficking

Ā Ā Ā Access to justice

Ā Ā Ā Financial secrecy

Ā Ā Ā \(G_{17}\): Partnerships and Goals

Ā Ā Ā Nonconcessional development finance

Ā Ā Ā Climate finance

Ā Ā Ā Unfair tax competition

Ā Ā Ā Development impact of trade practices.

2.1.2 2.4.2Ā Scoring Assessment

The tables in Appendix 2.4.2 are determined by the table in [54, Annex 2, p.12], Results of the Scoring Assessment.Ā In [54], the table presents the individual category scores and the overall scores for each goal and target. These were obtained by averaging the collective scores from the assessors. The scores given were out of a maximum of 2 for individual category scores and a maximum of 8 for overall scores. An overall score was then obtained for each target by multiplying the scores given to each of the three categories. Multiplication was used to emphasize that for a goal or target to score highly, it must meet all three criteria. Goal 17 was excluded from the analysis. We divided the individual category scores by 2 so that the resulting scores were out of a maximum of 1. The overall scores were divided by 8 so the resulting scores were out of a maximum of 1. In this way, we have placed the scoring in a fuzzy logic setting, [89]. For example, multiplication is a particular t-normĀ  in mathematics of uncertainty. The door is now open to use other t-norms or other operators.

Table 2.20 Scoring assessment
Table 2.21 Scoring assessment continued
Table 2.22 Scoring Assessment continued
Table 2.23 Scoring assessment continued
Table 2.24 Scoring assessment continued

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Mordeson, J.N., Mathew, S. (2021). Sustainability: Analysis Using Mathematics of Uncertainty. In: Sustainable Development Goals: Analysis by Mathematics of Uncertainty. Studies in Systems, Decision and Control, vol 299. Springer, Cham. https://doi.org/10.1007/978-3-030-48523-8_2

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